TEST_P(UnifiedCAPI, TF_AbstractOpSetOpTypeAfterFinishingOpBuildingRaises) {
  std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status(
      TF_NewStatus(), TF_DeleteStatus);
  TF_ExecutionContext* graph_ctx = TF_CreateFunction("some_func", status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

  // Add a placeholder to the graph.
  auto* placeholder_op = TF_NewAbstractOp(graph_ctx);

}

// -----

module {
// CHECK-LABEL: func private @some_func
// CHECK-LABEL: func @func_with_call
func.func private @some_func(%arg0: tensor<100xf32>) -> tensor<100xf32> attributes {tf.api_implements = "lstm_b4e9f0e7-ac55-42bc-8ef2-8496419a608c"}
func.func @func_with_call(%arg0: tensor<100xf32>) -> tensor<100xf32> {
  %0 = func.call @some_func(%arg0) : (tensor<100xf32>) -> tensor<100xf32>
  func.return %0 : tensor<100xf32>

      /*inputs=*/{filename_input_type}, /*results=*/{});
  auto save_func = builder.create<func::FuncOp>(
      NameLoc::get(builder.getStringAttr(kTfQuantSaveFuncName)),
      /*sym_name=*/kTfQuantSaveFuncName, func_type);
  save_func.addEntryBlock();
  save_func.setPrivate();

  return save_func;
}

// Creates a save function that contains the `TF::SaveV2Op` for the variables in

class SomeClass

@Suppress("CONFLICTING_OVERLOADS")
fun someFun(): SomeClass {
    return SomeClass()
}

@Suppress("CONFLICTING_OVERLOADS")
fun someFun() {

class SomeClass

class OtherClass {
    @Suppress("CONFLICTING_OVERLOADS")
    fun someFun(): SomeClass {
        return SomeClass()
    }

    @Suppress("CONFLICTING_OVERLOADS")
    fun someFun() {
    }

@file:Suppress("CONFLICTING_OVERLOADS")

class SomeClass

fun someFun(): SomeClass {
    return SomeClass()
}

fun someFun() {

class SomeClass

class OtherClass {
    class NestedClass {
        @Suppress("CONFLICTING_OVERLOADS")
        fun someFun(): SomeClass {
            return SomeClass()
        }

        @Suppress("CONFLICTING_OVERLOADS")
        fun someFun() {
        }
    }

// FIR test. It will be fixed by KT-63221.

class SomeClass

fun someFun(): Int {
    return 5
}

@Suppress("CONFLICTING_OVERLOADS")
fun someFun(): SomeClass {
    return SomeClass()
}

@Suppress("CONFLICTING_OVERLOADS")
fun someFun() {
}

fun someFun(): String {
    return ""

fun someFun() {
    for (i i)

  %0 = "tf.MyMapAndBatchDataset"(%input, %other1, %other2)
    {batch_size=1000 : i64, num_parallel_calls = 8 : i64, drop_remainder = 0 : i1,
     func = @"__some_func", output_types = [f32], output_shapes = [#tf_type.shape<>], preserve_cardinality = true}
    : (tensor<*x!tf_type.variant>, tensor<*xf32>, tensor<*xi32>) -> tensor<*x!tf_type.variant>
  func.return %0 : tensor<*x!tf_type.variant>